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biomistral-7b-wo-kqa_golden-iter-dpo-step2 – AI Model by Minbyul | AlphaNeural AI
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Minbyul
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biomistral-7b-wo-kqa_golden-iter-dpo-step2
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transformers
safetensors
mistral
text-generation
alignment-handbook
trl
dpo
generated_from_trainer
conversational
HuggingFaceH4/ultrafeedback_binarized
Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step1
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
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biomistral-7b-wo-kqa_golden-iter-dpo-step2
This model is a fine-tuned version of
Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step1
on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
Loss: 0.6909
Rewards/chosen: 0.0063
Rewards/rejected: 0.0057
Rewards/accuracies: 0.5625
Rewards/margins: 0.0006
Logps/rejected: -193.8717
Logps/chosen: -168.4928
Logits/rejected: -2.2060
Logits/chosen: -2.9391
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.38.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2
